Updated on 2025-01-23 GMT+08:00

Configuring Information on the ODFS

This section describes how to configure an intelligent robot to demonstrate Q&A group usage in the intelligent robot. Create an intelligent robot that meets the service requirements based on the actual service scenario.

Procedure

  1. Sign in to the AICC as a tenant administrator and choose Configuration Center > Chatbot Management > Flow Configuration.
  2. Choose Flow > Orchestration and click Create.
  3. Set the flow template to Blank Flow, enter the flow name, and click Save. The canvas is displayed.

    Figure 1 Create Flow page

  4. Drag diagram elements to the canvas, as shown in the following figure.

    Figure 2 Canvas
    Table 1 Diagram element description

    Diagram Element

    Node Attribute

    Remarks

    -

    -

    • Set Reply Way to TTS.
    • Set Reply Source to Reply Resource.
    • Set Reply Mode to Interruption recognition.

    • Variable Assignment: FLOW.response=TOC.ChatBotRespContent
    • Condition branch: TOC.ChatBotIntentCode=="systemQA"

    • Set Reply Way to TTS.
    • Set Reply Source to Reply Variable.
    • Enter FLOW.response in Reply Variable.

    • Set Reply Way to Static voice.
    • Set Reply Source to Reply Variable.
    • Enter No matching Q&A in Reply Variable.
    • Set Reply Mode to Interruption recognition.

    -

    -

  5. After the flow is created, click Save and Publish to publish the flow.
  6. Choose Configuration Center > Chatbot Management > Flow Configuration.
  7. Click Intelligent Chatbot. Click Create, enter the information shown in the following figure, and click Save to save the configuration.

    Figure 3 Create Chatbot page
    • Dialog Type: Select Chatbot.
    • Flow Name: Select the flow created in step 5.

  8. Click Save. The intelligent robot is created successfully.
  9. Select the created intelligent robot and click Test Call to test it. Click Start Call to start a dialog, and enter the Q&A pairs configured in the 7. If the dialog is normal, the correct result is returned, as shown in the following figure.

    Figure 4 Intelligent robot test